Source code for tests.system.providers.google.ads.example_ads

#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
"""
Example Airflow DAG that shows how to use GoogleAdsToGcsOperator.
"""
import os
from datetime import datetime

from airflow import models
from airflow.providers.google.ads.operators.ads import GoogleAdsListAccountsOperator
from airflow.providers.google.ads.transfers.ads_to_gcs import GoogleAdsToGcsOperator
from airflow.providers.google.cloud.operators.gcs import GCSCreateBucketOperator, GCSDeleteBucketOperator
from airflow.utils.trigger_rule import TriggerRule

# [START howto_google_ads_env_variables]
[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
[docs]DAG_ID = "example_google_ads"
[docs]BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
[docs]CLIENT_IDS = ["1111111111", "2222222222"]
[docs]GCS_OBJ_PATH = "folder_name/google-ads-api-results.csv"
[docs]GCS_ACCOUNTS_CSV = "folder_name/accounts.csv"
[docs]QUERY = """ SELECT segments.date, customer.id, campaign.id, ad_group.id, ad_group_ad.ad.id, metrics.impressions, metrics.clicks, metrics.conversions, metrics.all_conversions, metrics.cost_micros FROM ad_group_ad WHERE segments.date >= '2020-02-01' AND segments.date <= '2020-02-29' """
[docs]FIELDS_TO_EXTRACT = [ "segments.date.value", "customer.id.value", "campaign.id.value", "ad_group.id.value", "ad_group_ad.ad.id.value", "metrics.impressions.value", "metrics.clicks.value", "metrics.conversions.value", "metrics.all_conversions.value", "metrics.cost_micros.value",
] # [END howto_google_ads_env_variables] with models.DAG( DAG_ID, schedule_interval='@once', start_date=datetime(2021, 1, 1), catchup=False, tags=["example", "ads"], ) as dag:
[docs] create_bucket = GCSCreateBucketOperator( task_id="create_bucket", bucket_name=BUCKET_NAME, project_id=PROJECT_ID
) # [START howto_google_ads_to_gcs_operator] run_operator = GoogleAdsToGcsOperator( client_ids=CLIENT_IDS, query=QUERY, attributes=FIELDS_TO_EXTRACT, obj=GCS_OBJ_PATH, bucket=BUCKET_NAME, task_id="run_operator", ) # [END howto_google_ads_to_gcs_operator] # [START howto_ads_list_accounts_operator] list_accounts = GoogleAdsListAccountsOperator( task_id="list_accounts", bucket=BUCKET_NAME, object_name=GCS_ACCOUNTS_CSV ) # [END howto_ads_list_accounts_operator] delete_bucket = GCSDeleteBucketOperator( task_id="delete_bucket", bucket_name=BUCKET_NAME, trigger_rule=TriggerRule.ALL_DONE ) ( # TEST SETUP create_bucket # TEST BODY >> run_operator >> list_accounts # TEST TEARDOWN >> delete_bucket ) from tests.system.utils.watcher import watcher # This test needs watcher in order to properly mark success/failure # when "tearDown" task with trigger rule is part of the DAG list(dag.tasks) >> watcher() from tests.system.utils import get_test_run # noqa: E402 # Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)
[docs]test_run = get_test_run(dag)

Was this entry helpful?